Interdisciplinary Statistician (Economics )/Economist/Operations Research Analyst (Data Scientist)

US-Defense-Human-Resources-Activit; Alexandria (VA); Presencial; USD 95 000 - 145 000; Tempo integral

Resumo da oferta

US-Defense-Human-Resources-Activit seeks a developmental training Statistician (Economics), Economist, or Operations Research Analyst to assist in housing and COLA allowances and support BAH, OHA, Overseas COLA, and CONUS COLA programs.

Responsibilities include applying advanced analytic methods, leading complex studies, and presenting recommendations to senior officials and stakeholders.

Qualificações

• Specialized experience at GS-11 or higher in statistical, economic, or data-science analysis for allowance programs.
• Ability to develop and defend analytical methodologies before senior officials.
• Graduate-level degrees or combinations meeting federal Occupational Requirements.

Responsabilidades

• Assist in developing housing and cost-of-living allowances.
• Support management of BAH, OHA, Overseas COLA, and CONUS COLA programs.
• Lead complex analyses and present findings to senior officials.

Conhecimentos

Statistics

Economics

Operations research

Data analysis

SQL

R

Python

Formação académica

Ph.D. in Economics/Data Science

Master's degree in a quantitative field

Bachelor's degree

Ferramentas

SQL

R

Python

Descrição da oferta de emprego

This position is part of the Personnel Readiness Management Agency. The incumbent Serves in a developmental training interdisciplinary position as a Statistician (Economics),Economist, or Operations Research Analyst (Data Scientist) assisting in developing housing and cost-of-living allowances and providing support with managing certain aspects of the BAH, OHA, Overseas COLA, and CONUS COLA programs.

You may qualify at the GS-12, if you fulfill the following qualifications:

A. One year of specialized experience equivalent to the GS-11 grade level in the Federal service:

• Applying advanced statistical, economic, or operations-research principles to analyze and evaluate allowance-program issues and provide technical expertise on allowance programs.
• Leading complex analytical projects involving the development or substantial revision of data-collection approaches, analytical techniques, or program-evaluation criteria.
• Developing, presenting, and defending recommendations and analytical methodologies for complex allowance-program issues before senior officials, stakeholders, oversight bodies, or other public-facing audiences.;

OR

B. Ph.D. or equivalent doctoral degree.

You may qualify at the GS-11, if you fulfill the following qualifications:

A. One year of specialized experience equivalent to the GS-09 grade level in the Federal service:

• Conducting comprehensive analyses of complex data using advanced statistical, economic, or data-science analytical and evaluative methods, and developing recommendations based on the results;
• Modifying or adapting standard data-science and statistical techniques to address a range of analytical challenges, program issues, or policy questions;
• Planning and carrying out complex studies, documenting and justifying findings, and presenting results to technical and nontechnical audiences, including senior officials.

OR

B. Master's or equivalent graduate degree.

You may qualify at the GS-09, if you fulfill the following qualifications:

A. One year of specialized experience equivalent to the GS-07 grade level in the Federal service:

• Applying established statistical, economic, or data-science methods to analyze and evaluate data for routine projects or assignments;
• Independently using automated analytical tools, such as SQL, R, Python, or similar software, to extract, organize, and analyze information from complex data sources;
• Resolving conventional problems in data collection and analysis by applying established program methodologies, procedures, and regulations.

OR

B. 2 years of progressively higher level graduate education leading to a master's degree or master's or equivalent graduate degree.

OR

C. Possess some specialized experience as described, but less than one year; and have more than one year of graduate level education as described, but less than two. When added, the percentage of the requirements that you meet must total at least 100%.

You may qualify at the GS-07, if you fulfill the following qualifications:

A. One year of specialized experience equivalent to the GS-05 grade level in the Federal service:

• Assisting with developmental assignments by applying statistical, economic, or data-science principles, methods, and techniques under guidance;
• Using automated systems and software, such as SQL, R, Python, or similar tools, to access, retrieve, organize, and review data from multiple sources;
• Assisting with research, interpretation, and evaluation of data using qualitative and quantitative analytical techniques for well-precedented assignments.

OR

B. Possess: a Bachelor's degree w/Superior Academic Achievement or 1 year of graduate level education.

OR

C. Have some specialized experience as described, but less than one year; and I have some but less than one year of graduate level education as described. When added, the percentage of the requirements that you meet must total at least 100%.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

In addition to meeting qualifications, your application package must reflect the applicable experience to meet the Individual Occupational Requirements for the 0110/1515/1530 series.

If you are applying for the Economist 0110 series, you must have the following.

Degree: economics, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus.

OR

Combination of education and experience courses equivalent to a major in economics, as shown in A above, plus appropriate experience or additional education.

If you are applying for the Operations Research 1515 series, you must have the following.

Degree: in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics, Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science, optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses. At least 3 of the 24 semester hours must have been in calculus.

OR

Combination of education and experience courses as shown in A above, plus appropriate experience or additional education.

If you are applying for the Statistics 1530 series, you must have the following.

Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

OR

Combination of education and experience courses as shown in A above, plus appropriate experience or additional education.

The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.